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Wallet icon Coin icon Rate 100 000 CZK - 140 000 CZK / month
Timer icon Form of cooperation Full-time / 50% Remote
Briefcase icon Sector Information Technology
Location icon Location Brno, Praha
Start date 01.01.2025 - 31.01.2025
Technology
  • ETL
  • SSAS SQL Server Analysis Services
  • Python
  • Azure Databricks
  • Azure Data Factory
  • PySpark
Languages
  • English flag English - conversational, B1
  • Slovak or Czech flag Slovak or Czech - native

Offer description

  • taking over and modernizing an existing data warehouse with the aim of transferring it to Azure and taking full advantage of MS Fabric and Azure DataBricks
  • design and optimization of ETL processes using state-of-the-art tools such as Azure Data Factory to ensure a reliable and scalable solution
  • responsibility for the development and maintenance of the internal data warehouse, which will be the backbone for the reporting and analytical needs of the company
  • active cooperation with analysts and the reporting team (3-4 colleagues focused on Power BI), who will build on the data prepared by you
  • communication with client and internal teams to clarify requirements, prioritize tasks and monitor progress
  • participation in initiation meetings onsite at the client, then mainly online communication with the client and the project team
  • regular meetings in offices in Prague, Brno or Ostrava 2-3 times a week, the rest of the work remote

Requirements

  • at least 3-5 years of experience designing data warehouses and ETL processes, ideally in an Azure environment
  • advanced knowledge of MS Fabric, Azure DataBricks, Azure Data Factory and other cloud tools for working with data
  • experience with SSAS and basic knowledge of SSRS or Power BI (big plus)
  • knowledge of Python (PySpark an advantage) for working with data and optimizing data flows
  • ability to communicate at a high level as you will work closely with clients and internal analysts
  • independence and responsibility for your solution - you will be the main technical person for the data warehouse
  • willingness to work alternately onsite in offices (2-3x a week), the rest remote
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